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    • 54. 发明授权
    • Automatic currency processing system having ticket redemption module
    • 自动货币处理系统具有换票模块
    • US06778693B2
    • 2004-08-17
    • US10085811
    • 2002-02-28
    • William J. JonesDouglas U. MennieMark C. Munro
    • William J. JonesDouglas U. MennieMark C. Munro
    • G06K900
    • G07D7/128G06Q20/1085G06Q20/18G06Q40/00G07D7/04G07D7/06G07D7/12G07D7/1205G07D7/16G07D7/162G07D7/20G07D11/0003G07D11/0084G07F7/04G07F19/20G07F19/202
    • An apparatus for currency discrimination comprises first and second stationary scanheads, disposed on opposite sides of a bill transport path, for scanning respective first and second opposing surfaces of a bill traveling along the bill transport path and for producing respective output signals. The bill travels along the transport path in the direction of a predetermined dimension of the bill. A memory stores master characteristic patterns corresponding to associated predetermined surfaces of a plurality of denominations of genuine bills. Sampling circuitry samples the output signals associated with the respective first and second opposing surfaces of the scanned bill. A signal processor is programmed to determine which one of the first and second opposing surfaces corresponds to the associated predetermined surfaces of the plurality of denominations of genuine bills. The processor then correlates the output signal associated with the one of the first and second opposing surfaces corresponding to the associated predetermined surfaces with the master characteristic patterns to identify the denomination of the scanned bill.
    • 用于货币鉴别的装置包括设置在纸币传送路径的相对侧上的第一和第二静止扫描头,用于扫描沿着纸币传送路径行进的纸币的相应的第一和第二相对表面并产生相应的输出信号。 纸币沿着输送路径沿纸币的预定尺寸的方向行进。 存储器存储对应于多个真币的面额的相关联的预定表面的主特征图案。 采样电路对与扫描的纸币的相应的第一和第二相对表面相关联的输出信号进行采样。 信号处理器被编程为确定第一和第二相对表面中的哪一个对应于多个面值真币的相关联的预定表面。 然后处理器将与对应于相关联的预定表面的第一和第二相对表面中的一个相关联的输出信号与主特征图案相关联,以识别扫描票据的面额。
    • 57. 发明授权
    • Sensing device and a method relating thereto
    • 感测装置及其相关方法
    • US06778686B1
    • 2004-08-17
    • US09622347
    • 2000-10-16
    • Njård HestnesFrank Robert Riedijk
    • Njård HestnesFrank Robert Riedijk
    • G06K900
    • G01B7/004G01B7/34G06K9/0002
    • The present invention relates to a capacitive sensing device (10) for sensing topological variations in the structure of an object such as e.g. a finger. The device comprises a sensing surface for receiving the object adjacent thereto and a number of sensor elements (11,1, . . . , 1x,y) arranged in at least two dimensions (x,y). The sensing device further includes controlling means (2,3) for providing control signals to the sensor elements (11,1, . . . , 1x,y) and for at least a number of the sensor elements at least two functionalities are available. The sensor elements can be brought to take on one of said at least two different functionalities, and the actual functionality of a sensor element is determined by said control signal. The invention also relates to a data carrier comprising such a capacitive sensing device, and to a method for use of such a device.
    • 本发明涉及用于感测物体的结构中的拓扑变化的电容感测装置(10),例如, 手指 该装置包括用于接收与其相邻的物体的感测表面和以至少二维(x,y)排列的多个传感器元件(11,1,...,1x,y)。 感测装置还包括用于向传感器元件(11,1,...,1x,y)提供控制信号的控制装置(2,3),并且对于至少多个传感器元件,至少两个功能是可用的。 可以将传感器元件置于所述至少两个不同功能之一中,并且传感器元件的实际功能由所述控制信号确定。 本发明还涉及一种包括这种电容感测装置的数据载体,以及一种使用这种装置的方法。
    • 58. 发明授权
    • Two-stage local and global fingerprint matching technique for automated fingerprint verification/identification
    • 两级本地和全球指纹匹配技术,用于自动指纹验证/识别
    • US06778685B1
    • 2004-08-17
    • US09611951
    • 2000-07-06
    • Xudong JiangWei Yun YauWee Ser
    • Xudong JiangWei Yun YauWee Ser
    • G06K900
    • G06K9/00087
    • A method for determining a degree of match between a search fingerprint and a reference fingerprint comprises the following steps: a) Extracting at least one first search feature from a first region of said search fingerprint thereby forming a local search feature vector, b) Extracting at least one second search feature from a second region of said search fingerprint thereby forming a global search feature vector, whereby said second region comprises said first region, c) Determining a first similarity degree by comparing said local search feature vector with a local reference feature vector, d) Determining a second similarity degree by comparing said global search feature vector with a global reference feature vector of said reference fingerprint and using said first similarity degree, e) Determining said degree of match from said second similarity degree.
    • 一种用于确定搜索指纹和参考指纹之间的匹配程度的方法包括以下步骤:a)从所述搜索指纹的第一区域提取至少一个第一搜索特征,从而形成本地搜索特征向量,b) 从所述搜索指纹的第二区域起至少一秒的搜索特征,从而形成全局搜索特征向量,由此所述第二区域包括所述第一区域,c)通过将所述局部搜索特征向量与局部参考特征向量进行比较来确定第一相似度 d)通过将所述全局搜索特征向量与所述参考指纹的全局参考特征向量进行比较并使用所述第一相似度来确定第二相似度,e)从所述第二相似度确定所述匹配度。
    • 59. 发明授权
    • Image registration system and method using cross-entropy optimization
    • 使用交叉熵优化的图像配准系统和方法
    • US06775405B1
    • 2004-08-10
    • US09676613
    • 2000-09-29
    • Yang-Ming Zhu
    • Yang-Ming Zhu
    • G06K900
    • G06T3/0068G06K9/6212G06T7/35G06T2207/30004
    • An image registration system and method employs a registration processor (130) to find an optimal registration of two volumetric images (110, 112) by finding a spatial orientation that optimizes the statistical measure cross-entropy. The cross-entropy can be minimized where one or more likely or reasonably good a priori estimations of the true joint probability density function (pdf) of voxel value pairs are available. Where such an estimate is not available, the joint pdf for one or more known incorrect spatial arrangements (e.g., based on prior misregistrations), can be used as the prior pdf estimate(s). Since the prior pdf estimate(s) are unlikely to be the true pdf, a spatial orientation maximizing the cross-entropy is found. Likely and unlikely prior pdf estimations can also be used together to register images. The transformation that optimizes the cross entropy provides an optimal registration, and the parameters for the optimized transform are output to memory (150) for use by a display system (160) in aligning the images for display as a fused or composite image.
    • 图像配准系统和方法使用注册处理器(130)通过找到优化统计测量交叉熵的空间取向来找到两个体积图像(110,112)的最佳配准。 如果体素值对的真实联合概率密度函数(pdf)的一个或多个可能或相当好的先验估计可用,则可以最小化交叉熵。 在这种估计不可用的情况下,可以使用关于一个或多个已知不正确的空间布置(例如,基于先前的不对准)的联合pdf作为先前的pdf估计。 由于以前的pdf估计不太可能是真正的pdf,所以发现了最大化交叉熵的空间方向。 可能和不太可能的以前的pdf估计也可以一起用于注册图像。 优化交叉熵的变换提供了最佳配准,并且优化变换的参数被输出到存储器(150),供显示系统(160)使图像对准以便显示为融合或合成图像。
    • 60. 发明授权
    • Subvoxel processing: a method for reducing partial volume blurring
    • Subvoxel处理:减少部分体积模糊的方法
    • US06775401B2
    • 2004-08-10
    • US09820225
    • 2001-03-28
    • Scott N. HwangFelix W. Wehrli
    • Scott N. HwangFelix W. Wehrli
    • G06K900
    • G06T7/0012G06T5/003G06T5/20G06T2200/04G06T2207/30008
    • The present invention comprises a novel method, system and device for post-processing images, such as trabecular bone images, obtained by MRI, CT, or other image technologies, to provide increasing apparent image resolution and to alleviate the effects of partial volume blurring, which otherwise precludes accurate measurement of structures in the limited-resolution regime in which image voxel size is larger than the typical structural element to be resolved. Since acquiring images at increased resolution often exacts an unacceptable signal-to-noise penalty, methods and systems to alleviate the adverse effects of partial volume blurring are instrumental for the accurate measurement of architectural parameters in applications, such as predicting the mechanical competence of trabecular bone networks. Referred to as “subvoxel processing,” the invention is applicable to volumes of interest containing material phases of two discrete signal intensities, and it has been shown to be significantly more accurate than trilinear interpolation in decreasing apparent voxel size, especially in the presence of noise.
    • 本发明包括用于后处理通过MRI,CT或其他图像技术获得的小梁骨图像的图像的新方法,系统和装置,以提供增加的视觉分辨率并减轻部分体积模糊的影响, 否则排除了图像体素尺寸大于要解析的典型结构元素的有限分辨率体系中的结构的精确测量。 由于以更高的分辨率获取图像通常会导致不可接受的信号噪声损失,减轻部分体积模糊的不利影响的方法和系统对于应用中的建筑参数的准确测量是有用的,例如预测小梁骨的机械能力 网络。 被称为“子体素处理”,本发明适用于包含两个离散信号强度的物质相位的感兴趣体积,并且已经显示出在减少表观体素尺寸方面比三线性插值显着更精确,特别是在存在噪声的情况下 。